Evidence map›Paper›PMID 38957522›Full record

ArticleAlgorithms2018

The NIRS Brain AnalyzIR Toolbox.

Hendrik Santosa, Xuetong Zhai, Frank Fishburn, Theodore Huppert

Abstract read
In one paragraph

Article in Algorithms, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 268 papers.

0numbers the graph read from it
0cells of the map it votes in
268citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

268 citing papers in PubMed.

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  2. Effects of NADThe Journal of pharmacology and experimental therapeutics · 2025
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208 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hendrik SantosaDepartment of Radiology, University of Pittsburgh, Pittsburgh, PA 15213-2536, USA.
Xuetong ZhaiDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213-2536, USA.
Frank FishburnDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213-2536, USA.ORCID 0000-0002-1227-2834
Theodore HuppertDepartments of Radiology and Bioengineering, University of Pittsburgh, Clinical Science Translational Institute, and Center for the Neural Basis of Cognition, Pittsburgh, PA 15213-2536, USA.

Funding

Brain AnalyzIR: A software platform for improving scientific rigor in functional NIRS statistical analysisR01EB028248 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Theodore James Huppert · 2019 to 2026
$2.0M
Characterization of Brain Noise using Multimodal Mutual InformationR01EB013210 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HUPPERT, THEODORE JAMES · 2011 to 2013
$930k
NIBIB NIH HHS R01 EB013210NIBIB NIH HHS R01 EB028248
6 · The paper itself

Abstract

Functional near-infrared spectroscopy (fNIRS) is a noninvasive neuroimaging technique that uses low-levels of light (650-900 nm) to measure changes in cerebral blood volume and oxygenation. Over the last several decades, this technique has been utilized in a growing number of functional and resting-state brain studies. The lower operation cost, portability, and versatility of this method make it an alternative to methods such as functional magnetic resonance imaging for studies in pediatric and special populations and for studies without the confining limitations of a supine and motionless acquisition setup. However, the analysis of fNIRS data poses several challenges stemming from the unique physics of the technique, the unique statistical properties of data, and the growing diversity of non-traditional experimental designs being utilized in studies due to the flexibility of this technology. For these reasons, specific analysis methods for this technology must be developed. In this paper, we introduce the NIRS Brain AnalyzIR toolbox as an open-source Matlab-based analysis package for fNIRS data management, pre-processing, and first- and second-level (i.e., single subject and group-level) statistical analysis. Here, we describe the basic architectural format of this toolbox, which is based on the object-oriented programming paradigm. We also detail the algorithms for several of the major components of the toolbox including statistical analysis, probe registration, image reconstruction, and region-of-interest based statistics.

Indexed as

Functional near-infrared spectroscopystatistical analysistoolbox

Identifiers

PMID38957522
PMCPMC11218834

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.